西北内陆县域经济高质量发展的路径分析以宁夏回族自治区为例

Pathway analysis of high-quality development of inland county-level economies in northwest China: a case study of Ningxia Hui Autonomous Region

  • 摘要: 基于新发展理念,构建了涵盖创新、协调、绿色、开放和共享这5个发展维度的多层级评价指标体系.以宁夏回族自治区(简称“宁夏”)22个市辖区、县级市和县作为样本,依次运用如下4种方法展开研究:1)综合运用熵权−优劣解距离法(简称TOPSIS方法)测度各县域高质量发展综合水平,并完成梯队排序;2)利用泰尔指数分解并测算区域发展差异来源;3)空间自相关检验识别县域发展的空间依赖特征及集聚格局,4)通过偏最小二乘回归(partial least squares regression,PLSR)模型筛选出影响县域高质量发展的核心驱动因素.结果表明:宁夏县域发展呈阶梯式分化,区域差异主要源于地市级组间差距;空间上形成北部热点集聚、中部过渡异质、南部随机分布的3层格局,驱动因素呈层次结构.

     

    Abstract: Based on the new development philosophy, this study constructs a comprehensive evaluation indicator system covering five dimensions of innovation, coordination, green development, openness, and shared prosperity. Taking the 22 districts, county-level cities, and counties of Ningxia Hui Autonomous Region as research samples, four analytical methods are employed for empirical analysis: firstly,the entropy-weighted technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to measure the comprehensive level of county-level high-quality development and classify counties into different development tiers; secondly the Theil index decomposition approach is applied to quantify regional disparities and identify their structural sources; thirdly,spatial autocorrelation analysis is applied to examine the spatial dependence and agglomeration patterns of county-level high-quality development; and fourthly,a partial least squares regression (PLSR) model is applied to identify the key influencing factors of county-level high-quality development. The results reveal that county-level high-quality development in Ningxia exhibits a ladder-like differentiation pattern, with regional disparities mainly originating from inter-prefectural differences. Spatially, a three-tier pattern is observed, characterized by hotspot agglomeration in northern Ningxia, transitional development in central Ningxia, and random distribution in southern Ningxia. Furthermore, the influencing factors exhibit a hierarchical structure.

     

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